Optimizing vitiligo diagnosis with ResNet and Swin transformer deep learning models: a study on performance and interpretability
Abstract Vitiligo is a hypopigmented skin disease characterized by the loss of melanin. The progressive nature and widespread incidence of vitiligo necessitate timely and accurate detection. Usually, a single diagnostic test often falls short of providing definitive confirmation of the condition, ne...
Main Authors: | Fan Zhong, Kaiqiao He, Mengqi Ji, Jianru Chen, Tianwen Gao, Shuli Li, Junpeng Zhang, Chunying Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-04-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-024-59436-2 |
Similar Items
-
Clinical and dermoscopic assessment of the efficacy of topical trichloroacetic acid 70% versus methoxsalen 0.2% paint in stable acral vitiligo
by: Ahmed R. Elshahed, et al.
Published: (2025-02-01) -
Dermatoscopic Patterns in Childhood Vitiligo and Their Association With Reflectance Confocal Microscopy Findings
by: Juan Alberto Godínez-Chaparro, et al.
Published: (2023-10-01) -
Dermoscopic and clinical features of halo nevus in children
by: Rong CAO, et al.
Published: (2024-01-01) -
Enhanced Magnetic Resonance Imaging-Based Brain Tumor Classification with a Hybrid Swin Transformer and ResNet50V2 Model
by: Abeer Fayez Al Bataineh, et al.
Published: (2024-11-01) -
Circulating memory T cells and TCF1+ T cells aid in diagnosis and monitor disease activity in vitiligo
by: Xinju Wang, et al.
Published: (2024-11-01)